- python3-dateutil
- python3-numpy
- python3-numpy (>= 1:1.18.5~) | python3 (<< 3.10)
- python3-numpy (>= 1:1.18.5~) | python3 (>> 3.10)
- python3-tz (>= 2022.1~)
- python3:any
- python3-pandas-lib (>= 1.5.3+dfsg)
- python3-pkg-resources
- python3-six
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python. pandas is well suited for many different kinds of
data:
.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
.
This package contains the Python 3 version.
Installed Size: 20.9 MB
Architectures: all